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Go to:With the vast volume of cellphones, packages, vehicles, purchases and other items moving through time and space, a good foundational understanding of how spatial data can be used is increasingly valuable. This post provides an overview of the different types of spatial data and how you can make the most of yours. What is Spatial…
Today marks the 51st anniversary of Earth Day! Inspired by the 1969 Santa Barbara oil spill, Earth Day began after the largest protest ever for new clean air and water laws. It now encompasses events held with more than a billion people worldwide. At Kinetica, we believe that due to the scale and complexity of…
Vectorized processing, the ability to compute in parallel at the data level, has initiated a new era of big data analytics. Over the past decade this emerging computing paradigm has been adopted largely by leading internet companies and federal agencies. Kinetica is proud to be part of the NVIDIA EGX enterprise platform ecosystem that is…
Best-in-breed BI tools, like Tableau, have excellent geospatial visualization for small and manageable data sets. They pull down your data from the source and use client-side technologies to deliver an interactive data exploration experience. But when you have hundreds of thousands, or even millions of data points, modern BI tools simply can’t visualize data at…
Data engineering is the practice of getting data where it’s needed, when it’s needed, and how it’s needed. This is usually accomplished by taking data, transforming it into a format useful for analysis, and then building pipelines that provide it to an application either in real time or in periodic batches, such as once a…
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